A Genetic Algorithm Approach to Synthetic Data Production

Yingrui Chen, Mark Elliot, Joseph Sakshaug

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper explains a potential approach to synthetic data generation using genetic algorithms. It based on the principle that optimisation can be strong, accurate and efficient if there is sufficient prior knowledge of solution space. This approach is applicable because its evolutionary and competitive process compares different synthetic versions of the original data and combines their fitness in the finalised dataset.
Original languageEnglish
Title of host publicationProceedings of the 1st International Workshop on AI for Privacy and Security
Place of PublicationNew York
PublisherACM Digital Library
Number of pages6
ISBN (Electronic)978-1-4503-4304-6
Publication statusPublished - 29 Aug 2016

Research Beacons, Institutes and Platforms

  • Cathie Marsh Institute


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